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Jan Christian Blaise Cruz

Jan Christian Blaise Cruz has 2 papers in our library, in 2023, most of them on Language models & pretraining, Multilingual & cross-lingual NLP; often with Genta Indra Winata, Ruochen Zhang, Samuel Cahyawijaya.

2 papers in our library · 2023

OpenAlex · h-index 10 · 44 works · 280 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 271 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6387

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2025–2026 · 2 paperscurrent🏢SamsungSeoul · South Korea2021–2023 · 7 papers🎓De La Salle UniversityManila · Philippines2018–2021 · 4 papers🏛️AI SingaporeSingapore · Singapore2024–2025 · 2 papers🎓McGill UniversityMontreal · Canada2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksMultilingual & cross-lingual NLP · 2 works

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Multilingual Large Language Models Are Not (Yet) Code-Switchers (2023 · 86 citations)
    Code-switching (CSW), where speakers alternate between languages within a single utterance, is common in multilingual communities.
  2. Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages (2023 · 48 citations)
    Code-mixing, or switching between languages within a single utterance, is common across South East Asia. Yet NLP research on it has little data, because such speech is mostly informal or spoken, and scraping it from social media raises legal and scaling problems. The authors ask whether instruction-tuned multilingual…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark ↗arXiv:2406.05967 · no summary yetDavid Romero et al.2024 · 90 citations
  2. Multilingual Large Language Models Are Not (Yet) Code-SwitchersConference on Empirical Methods in Natural Language Processing (EMNLP)Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, et al.2023 · 86 citations
  3. Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian LanguagesarXiv:2303.13592Zheng-Xin Yong, Ruochen Zhang, Jessica Zosa Forde, et al.2023 · 48 citations
  4. CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetEmilio Villa-Cueva et al.2025 · 5 citations

 Co-authors here

9 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 271 times (of the 149,439 papers whose bibliographies we read); 61 citing papers with a page here →.

Updated

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